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Heteroscedasticity in stock returns data revisited: volume versus GARCH effects

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Cited by:

  1. Chen, Xiangyu & Tongurai, Jittima, 2023. "Which liquidity indicator is more informative to market volatility? Spectrum analysis of China’s base metal futures market," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
  2. Farag, Hisham & Cressy, Robert, 2011. "Do regulatory policies affect the flow of information in emerging markets?," Research in International Business and Finance, Elsevier, vol. 25(3), pages 238-254, September.
  3. Henryk Gurgul & Roland Mestel & Tomasz Wojtowicz, 2007. "Distribution of volume on the American stock market," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 1, pages 143-163.
  4. Tomasz Wójtowicz & Henryk Gurgul, 2009. "Long memory of volatility measures in time series," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 19(1), pages 37-54.
  5. Sarika Mahajan & Balwinder Singh, 2008. "An Empirical Analysis of Stock Price-Volume Relationship in Indian Stock Market," Vision, , vol. 12(3), pages 1-13, July.
  6. Cuadro-Sáez, Lucía & Moreno, Manuel, 2007. "GARCH modeling of robust market returns," Kiel Advanced Studies Working Papers 440, Kiel Institute for the World Economy (IfW Kiel).
  7. Bohl, Martin T. & Henke, Harald, 2003. "Trading volume and stock market volatility: The Polish case," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 513-525.
  8. Omran M. F., 2003. "Equity Valuation Using Multiples in the Emerging Market of the United Arab Emirates," Review of Middle East Economics and Finance, De Gruyter, vol. 1(3), pages 72-88, December.
  9. Eric Girard & Mohammed Omran, 2009. "On the relationship between trading volume and stock price volatility in CASE," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 5(1), pages 110-134, February.
  10. Mai Ahmed Abdelzaher, 2019. "The Impact of January Events on Stock Performance in the Egyptian Stock Market," Accounting and Finance Research, Sciedu Press, vol. 8(1), pages 174-174, February.
  11. Pankaj Sinha & Shalini Agnihotri, 2016. "Investigating Impact of Volatility Persistence and Information Inflow on Volatility of Stock Indices Using Bivarite GJR-GARCH," Global Business Review, International Management Institute, vol. 17(5), pages 1145-1161, October.
  12. Henryk GURGUL & Tomasz WÓJTOWICZ, 2006. "Long Memory on the German Stock Exchange," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(09-10), pages 447-468, September.
  13. Niklas Wagner & Terry Marsh, 2005. "Surprise volume and heteroskedasticity in equity market returns," Quantitative Finance, Taylor & Francis Journals, vol. 5(2), pages 153-168.
  14. Sinha, Pankaj & Agnihotri, Shalini, 2014. "Investigating impact of volatility persistence, market asymmetry and information inflow on volatility of stock indices using bivariate GJR-GARCH," MPRA Paper 58303, University Library of Munich, Germany.
  15. Malay K. Dey & Chaoyan Wang, 2021. "Volume decomposition and volatility in dual-listing H-shares," Journal of Asset Management, Palgrave Macmillan, vol. 22(4), pages 301-310, July.
  16. Gerlach, Richard & Chen, Cathy W.S. & Lin, Doris S.Y. & Huang, Ming-Hsiang, 2006. "Asymmetric responses of international stock markets to trading volume," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 422-444.
  17. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
  18. Henryk Gurgul & Paweł Majdosz & Roland Mestel, 2007. "Price–volume relations of DAX companies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 21(3), pages 353-379, September.
  19. Henryk Gurgul & Tomasz Wójtowicz, 2006. "Long-run properties of trading volume and volatility of equities listed in DJIA index," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(3-4), pages 29-56.
  20. Henrik Amilon, 2002. "A Score Test for Discreteness in GARCH Models," Research Paper Series 76, Quantitative Finance Research Centre, University of Technology, Sydney.
  21. Ezzat, Hassan & Kirkulak, Berna, 2014. "Information Arrival and Volatility: Evidence from the Saudi Arabia Stock Exchange (Tadawul)," MPRA Paper 61160, University Library of Munich, Germany.
  22. Kumar, Brajesh & Singh, Priyanka & Pandey, Ajay, 2009. "The Dynamic Relationship between Price and Trading Volume:Evidence from Indian Stock Market," IIMA Working Papers WP2009-12-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
  23. Bradley Ewing & Mark Thompson & Mark Yanochik, 2007. "Using volume to forecast stock market volatility around the time of the 1929 crash," Applied Financial Economics, Taylor & Francis Journals, vol. 17(14), pages 1123-1128.
  24. Semen Son Turan, 2014. "Internet Search Volume and Stock Return Volatility: The Case of Turkish Companies," Information Management and Business Review, AMH International, vol. 6(6), pages 317-328.
  25. Amilon, Henrik, 2003. "GARCH estimation and discrete stock prices: an application to low-priced Australian stocks," Economics Letters, Elsevier, vol. 81(2), pages 215-222, November.
  26. Karaa, Rabaa & Slim, Skander & Hmaied, Dorra Mezzez, 2018. "Trading intensity and the volume-volatility relationship on the Tunis Stock Exchange," Research in International Business and Finance, Elsevier, vol. 44(C), pages 88-99.
  27. Kao, Yu-Sheng & Zhao, Kai & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2024. "The asymmetric relationships between the Bitcoin futures’ return, volatility, and trading volume," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 524-542.
  28. Carroll, Rachael & Kearney, Colm, 2015. "Testing the mixture of distributions hypothesis on target stocks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 39(C), pages 1-14.
  29. Brajesh Kumar, 2010. "The Dynamic Relationship between Price and Trading Volume: Evidence from Indian Stock Market," Working Papers id:2379, eSocialSciences.
  30. Fenghua, Wen & Xiaoguang, Yang, 2009. "Empirical study on relationship between persistence-free trading volume and stock return volatility," Global Finance Journal, Elsevier, vol. 20(2), pages 119-127.
  31. Radalj, Kim F. & McAleer, Michael, 2005. "Speculation and destabilisation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 69(1), pages 151-161.
  32. Kao, Yu-Sheng & Chuang, Hwei-Lin & Ku, Yu-Cheng, 2020. "The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  33. Ping Wang & Peijie Wang & Aying Liu, 2005. "Stock return volatility and trading volume: evidence from the chinese stock market," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 3(1), pages 39-54.
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